Recently, members of the Ceder Group have been part of a team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) who have built a text-mining tool in record time to help the...
Tom Lombardo summarizes the group’s recent collaborative work with LBL on tracking li in fast-charging lithium titanate in an article in Charged EVs Magazine. See the article here: Researchers track lithium ions in fast-charging...
Recently, the News Center at LBL released a Science Snapshot summarizing the work previously published in Science on studying Li kinetics in lithium titanate (LTO). This snapshot emphasizes that the key structural features found...
Congratulations to Tan Shi and Howard Qingsong Tu for having their art selected to appear on the cover of Advanced Energy Materials Vol. 10, no. 1, published on Jan. 7, 2020! The art (pictured...
The article “Computational Screening of Cathode Coatings for Solid-State Batteries” by Yihan Xiao et al. has been recently listed as one of the 15 top-downloaded papers of Joule in 2019. All 15 of the...
Professor Ceder gave an interview with Jessica Sully on the different battery technologies on the horizon, including cobalt- and nickel-free lithium-ion batteries, multivalent batteries, sodium-ion batteries, and solid-state batteries. In addition to a summary...
Web of Science recently released its list of Highly Cited Researchers for the year. This list named ~6,000 influential researchers across 21 fields and across fields whose papers ranked in the top 1% in...
Congratulations to Wenhao Sun for winning first place at the 2019 Berkeley Lab Research SLAM for his talk, “Mapping Uncharted Chemical Spaces”. In this competition, participants are challenged to present a compelling three-minute presentation...
Yesterday, Wolfgana Kerler from the Verge reported on German energy storage company Sonnen’s planned virtual powerplant (VPP). The VPP is slated to be installed in an apartment complex in Herriman, Utah. Construction of the...
Vahe Tshitoyan recent published an article on unsupervised machine learning of materials science literature (Unsupervised word embeddings capture latent knowledge from materials science literature). Just one month later, that article is one of the...